Exploiting visual information for enhancing audio signals via source separation and beamforming

ABSTRACT

A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.

RELATED APPLICATIONS

The present application is a continuation of, and claims priority toeach of, U.S. patent application Ser. No. 17/086,561, filed Nov. 2,2020, now U.S. Pat. No. ______, which is a continuation of U.S. patentapplication Ser. No. 16/556,476, filed Aug. 30, 2019, now U.S. Pat. No.10,853,653, which is a continuation of U.S. patent application Ser. No.15/905,442, filed Feb. 26, 2018, now U.S. Pat. No. 10,402,651, which isa continuation of and claims priority to U.S. patent application Ser.No. 14/302,110, filed Jun. 11, 2014, now U.S. Pat. No. 9,904,851, thecontents of which priority applications are hereby incorporated byreference herein in their entireties.

TECHNICAL FIELD

The present application relates to technologies for noise suppression,speech recognition, and acoustics, and more particularly, to a systemfor exploiting visual information for enhancing audio signals via sourceseparation and beamforming.

BACKGROUND

In today's society, end users regularly utilize smartphones, speechrecognition systems, and other audio-based technologies to place andreceive phone calls, access various types of internet services, andperform a variety of functions, or a combination thereof. When an enduser communicates using such devices and technologies, the end user maybe located in an environment that may not provide for optimalcommunication conditions. For example, the environment may includeambient noises, such as, but not limited to, noises generated from landvehicles, noises generated by aircraft, noises generated by machinery,and noises generated by animals. Additionally, the environment may alsoinclude other competing users, who may be speaking or otherwise makingsounds that may interfere with the communications made by the end user.

Currently, in order to counteract such ambient noise and noise generatedfrom competing users, noise suppression algorithms and technologies havebeen utilized to separate a targeted end user's audio signals from theambient noise and from the competing users' interfering audio signals.However, current noise suppression algorithms and technologies often doso only by predefining the locations of the sources of the ambientnoise, the location of the targeted end user, and the locations ofcompeting users. Additionally, current technologies require the use of adefined time period to phase in and adapt to various providedconstraints. Furthermore, current technologies fail to use any knowledgeof the end user or the acoustic environment associated with the enduser. As a result, current noise adaptation processes often requiresignificant amounts of time, are often suboptimal based on computationaland algorithmic constraints, and often require significant usage oflimited resources.

The above-described description is merely intended to provide acontextual overview regarding signal processing technologies, and is notintended to be exhaustive.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram of a system for exploiting visualinformation for enhancing audio signals via source separation andbeamforming according to an embodiment of the present disclosure.

FIG. 2 is a schematic diagram illustrating a sample implementation of asystem for exploiting visual information for enhancing audio signals viasource separation and beamforming according to an embodiment of thepresent disclosure.

FIG. 3 is a flow diagram illustrating a sample method for exploitingvisual information for enhancing audio signals via source separation andbeamforming according to an embodiment of the present disclosure.

FIG. 4 is a schematic diagram of a machine in the form of a computersystem within which a set of instructions, when executed, may cause themachine to perform any one or more of the methodologies or operations ofthe systems and methods for exploiting visual information for enhancingaudio signals via source separation and beamforming.

DETAILED DESCRIPTION

Various embodiments of the disclosure are discussed in detail below.While specific implementations are discussed, it should be understoodthat this is done for illustration purposes only. A person skilled inthe relevant art will recognize that other components and configurationsmay be used without parting from the spirit and scope of the disclosure.

A system and accompanying methods for exploiting visual information forenhancing audio signals via source separation and beamforming aredisclosed. In particular, the system and methods may allow for usingmetadata extracted from visual, audio, or other content associated withan environment of a user to be used in improving the speed andefficiency of noise suppression algorithms. In order to accomplish this,the system and methods may include utilizing visual sensors, cameras,audio sensors, and other similar devices to capture visual and audiocontent associated with an acoustic environment that the user is locatedin. Metadata extracted from the captured visual and audio content may beutilized by the system and methods to identify the user's location andto load a pre-trained audio profile including information associatedwith the current noise conditions in the acoustic environment. Inparallel, the system and methods may include loading a user profile forthe user, which may include corresponding audio information that isassociated with the user.

Once the audio profile and user profile are loaded, the system andmethods may include using the audio profile and user profile to cancelnoise generated in the acoustic environment and noise generated bycompeting speakers in the environment so as to increase the quality ofcommunications by the user. The audio and user profiles may also beutilized to enhance audio signals generated by the user during varioustypes of communications sessions, such as, but not limited to, telephonecommunications sessions, communications sessions involving automaticspeech recognition, or any other type of communications sessions. As aresult, the system and methods may utilize visual, auditory, and otherinformation associated with users and acoustic environments to allow forimprovements in the efficiency and speed of noise suppressionalgorithms.

In one embodiment, a system for exploiting visual information forenhancing audio signals via for source separation and beamforming isdisclosed. The system may include a memory that stores instructions anda processor that executes the instructions to perform various operationsof the system. The system may perform an operation that includesobtaining visual content associated with an environment of a user. Thesystem may then perform an operation that includes extracting, from thevisual content, first metadata associated with the environment of theuser. Once the first metadata is extracted, the system may perform anoperation that includes determining a location of the user based on thefirst metadata. Based on the location, the system may perform anoperation that includes loading an audio profile corresponding to thelocation of the user. Additionally, the system may perform an operationthat includes loading a user profile of the user that includes audiodata associated with the user. Furthermore, the system may includecancelling, based on the audio profile and the user profile, noise fromthe environment of the user. Moreover, the system may include adjusting,based on the audio profile and the user profile, an audio signalgenerated by the user so as to enhance the audio signal during acommunications session of the user.

In another embodiment, a method for enhancing audio signals viaexploiting visual information for source separation and beamforming isdisclosed. The method may include utilizing a memory that storesinstructions, and a processor that executes the instructions to performthe various functions of the method. The method may include obtainingvisual content associated with an environment of a user. The method maythen include extracting, from the visual content, first metadataassociated the environment of the user, and determining a location ofthe user based on the first metadata. Additionally, the method mayinclude loading, based on the location, an audio profile correspondingto the location of the user and loading a user profile of the user. Theuser profile may be configured to include audio data associated with theuser. Furthermore, the method may include cancelling, based on the audioprofile and the user profile, noise from the environment of the user.Moreover, the method may include adjusting, based on the audio profileand the user profile, an audio signal generated by the user so as toenhance the audio signal during a communications session of the user.

According to yet another embodiment, a computer-readable device havinginstructions for exploiting visual information for enhancing audiosignals via source separation and beamforming is provided. The computerinstructions, which when loaded and executed by a processor, may causethe processor to perform operations including: obtaining visual contentassociated with an environment of a user; extracting, from the visualcontent, first metadata associated the environment of the user;determining a location of the user based on the first metadata; loading,based on the location, an audio profile corresponding to the location ofthe user; loading a user profile of the user, wherein the user profilecomprises audio data associated with the user; cancelling, based on theaudio profile and the user profile, noise from the environment of theuser; and adjusting, based on the audio profile and the user profile, anaudio signal generated by the user so as to enhance the audio signalduring a communications session of the user.

These and other features of the systems and methods for exploitingvisual information for enhancing audio signals via source separation andbeamforming are described further as follows, and with respect to thedrawings, and appended claims.

A system 100 and accompanying methods for exploiting visual informationfor enhancing audio signals via source separation and beamforming aredisclosed, as shown in FIGS. 1-3. In particular, the system 100 andmethods utilize metadata extracted from visual, audio, or other contentassociated with an environment of a user to improve the speed andefficiency of noise suppression algorithms used in enhancing varioustypes of communications sessions. In order to accomplish this, thesystem 100 and methods may utilize visual sensors, cameras, audiosensors, and other similar devices to capture visual content, audiocontent, or other content associated with an acoustic environment of theuser during a communications session of the user. The captured visual,audio, or other content may include content associated with anythinglocated within the environment, such as, but not limited to, people,vehicles, machinery, or anything capable of making noise in theenvironment or otherwise. Once the visual, audio, or other content iscaptured, metadata extracted from the captured content may be utilizedby the system 100 and methods to identify the user's location and toload a pre-trained audio profile that includes information associatedwith the current noise conditions in the acoustic environment. Inparallel, the system 100 and methods may load a user profile for theuser, which may include corresponding audio information that isassociated with the user.

Once the audio profile and the user profile are loaded, the system 100and methods may use the audio profile and user profile to separate eachof the noise sources and to cancel any noise generated in the acousticenvironment that competes with the user's communications. For example,the system 100 and methods may cancel noise in the acoustic environmentby transmitting nulls toward the interfering noise sources in theenvironment. Additionally, the audio and user profiles may also beutilized by the system 100 and methods to enhance audio signalsgenerated by the user during the user's communications session. Suchcommunications sessions may include, but are not limited to telephonecommunications sessions, automatic speech recognition sessions, or anyother type of communications sessions. Thus, the system 100 and methodsmay utilize captured visual, auditory, or other information associatedwith acoustic environments so as to improve noise suppression andimprove audio signal quality during communications sessions.

As shown in FIG. 1, a system 100 for exploiting visual, audio, or otherinformation to separate and cancel out noise sources is disclosed. Thesystem 100 may be configured to support, but is not limited to,supporting, content delivery services, automatic speech recognitionservices, telephone services, cloud computing services,voice-over-internet protocol services (VoIP), software as a service(SaaS) applications, gaming applications and services, productivityapplications and services, mobile applications and services, and anyother computing applications and services. The system may include one ormore users that may utilize first user device 102 to access content,data, and services, to initiate and participate in communicationssessions or to perform a variety of other functions. For example, a usermay utilize first user device 102 to establish and handle acommunications session, such as a telephone call, with another user thatmay be utilizing second user device 110.

In certain embodiments, the first user device 102 and second user device110 may be computers, servers, mobile devices, smartphones, computertablets, phablets, or any other computing devices. In one embodiment,the first user device 102 may include a memory 103 that includesinstructions, and a processor 104 that executes the instructions fromthe memory 103 to perform various operations that are performed by thefirst user device 102. The processor 104 may be hardware, software, or acombination thereof. Additionally, the first user device 102 may includea camera 105, which may be utilized to capture video, image, or othercontent. Similarly, a second user device 110 may include a memory 111that includes instructions, and a processor 112 that executes theinstructions from the memory 111 to perform various operations that areperformed by the second user device 110. The processor 112 may behardware, software, or a combination thereof. Additionally, the seconduser device 110 may include a camera 113, which may be utilized tocapture video, image, or other content.

A first user and a second user may utilize the first user device 102 andsecond user device 110, respectively, to make telephone calls, and toaccess and obtain various types of content and services, such as, butnot limited to, video content, audio content, web content, text content,automatic speech recognition services, and other speech-relatedservices. Additionally, end users may utilize the first user device 102and second user device 110 to perform a variety of other tasks andfunctions. In certain embodiments, the first user device 102 and seconduser device 110 may include a software application that may be anautomatic speech recognition application, a cloud-based application,gaming application, an internet-based application, a browserapplication, a mobile application, a productivity application, a videoapplication, a music application, a social media application, afinancial application, a news application, any other type ofapplication, or a combination thereof. In certain embodiments, theapplication may be utilized to provide de-noising services to the firstand second users. In certain embodiments, at least a portion of thesoftware application may be configured to execute directly on the firstuser device 102 and second user device 110, however, in otherembodiments, the software application may be configured to execute onthe other devices and components in the system 100.

The first user of the first user device 102 may be in an environment114, which may be any type of environment, such as, but not limited to,an airport, a park, an office building, a street, a movie theater, orany other type of environment. In certain embodiments, the second usermay be in the same environment 114 as the first user, however, in otherembodiments, the second user may be in a different environment from thefirst user. The environment 114 may include ambient noise. Theenvironment 114 may also include one or more interferers, such as, butnot limited to, interferer 115, interferer 120, and interferer 125. Theinterferers 115, 120, 125 may be any type of object, person, or animalthat may make noise in the environment 114 that may potentiallyinterfere with communications made by the first user, the second user,or both. In one embodiment, as shown in FIG. 1, the environment 114 maybe an airport, interferer 115 may be a person using a smartphone 116,interferer 120 may be a car, and interferer 125 may be an airplane.

The functionality of the system 100 may be supported and executed byusing any combination of the servers 140, 145, and 150 in thecommunications network 135 or outside of the communications network 135.In one embodiment, the server 140 may include a memory 141 that includesinstructions, and a processor 142 that executes the instructions fromthe memory 141 to perform various operations that are performed by theserver 140. Additionally, the server 145 may include a memory 146 thatincludes instructions, and a processor 147 that executes theinstructions from the memory 146 to perform various operations that areperformed by the server 145. Furthermore, the server 150 may include amemory 151 that includes instructions, and a processor 152 that executesthe instructions from the memory 151 to perform various operations thatare performed by the server 150. The processors 142, 147, and 152 may behardware, software, or a combination thereof. In certain embodiments,the servers 140, 145, and 150 may be network servers, routers, gateways,computers, mobile devices or any other suitable computing device.

The communications network 135 of the system 100 may be configured tolink each of the devices in the system 100 to one another, and beconfigured to transmit, generate, and receive any information and datatraversing the system 100. In one embodiment, the communications network135 may include any number of additional servers in addition to theserver 140, the server 145, and the server 150. The communicationsnetwork 135 may also include and be connected to a cloud computingnetwork, a wireless network, an ethernet network, a satellite network, abroadband network, a cellular network, a private network, a cablenetwork, the Internet, an internet protocol network, a multiprotocollabel switching (MPLS) network, a content distribution network or anycombination thereof. In one embodiment, the communications network 135may be part of a single autonomous system that is located in aparticular geographic region, or be part of multiple autonomous systemsthat span several geographic regions.

The database 155 of the system 100 may be utilized to store and relayinformation that traverses the system 100, cache content that traversesthe system 100, store data about each of the devices in the system 100and perform any other typical functions of a database. In oneembodiment, the database 155 may be connected to or reside within thecommunications network 135. Additionally, the database 155 may include aprocessor and memory or be connected to a processor and memory toperform the various operation associated with the database 155. Incertain embodiments, the database 155 may be connected to servers 140,145, and 150, server 160, visual processing device 210, capturing device205, audio processing device 215, user device 102, user device 110 orany combination thereof. The database 155 may also store the contentobtained from the environment 114, store the metadata extracted from thecontent, store user profiles and audio profiles, store communications,store information about the interferers 115, 120, 125, store userpreferences, store information traversing the system 100 or anycombination thereof. Furthermore, the database 155 may be configured toprocess queries sent to it by any device in the system 100, or system200, or both.

Operatively, the system 100 may exploit visual and other information toprovide for noise source separation and beamforming. In a first examplescenario, the first user of the first user device 102 may be engaging ina communications session, such as a telephone call, with the second userof the second user device 110. The environment 114 may include ambientnoise and noises made by interferers 115, 120, 125 that may interferewith the quality and perceptibility of the communications occurringduring the communications session between the first and second users. Inorder to counteract such interfering noises in the environment 114, thefirst user may utilize first user device 102 to cancel out such noisesand to enhance the audio signals being transmitted between the first andsecond user devices 102 and 110. In order to do so, an application onthe first user device 102 may activate the camera 105 for a period oftime to capture video content, audio content, or other contentassociated with the environment 114. For example, in FIG. 1, the camera105 may capture video content, audio content, or a combination thereof,that indicates that the environment 114 is an airport, that the firstinterferer 115 is a person using a smartphone 116, that the secondinterferer 120 is a car, and the third interferer 125 is an airplane. Incertain embodiments, the system 100 may utilize a microphone array, suchas microphone 208, to sample and obtain audio content associated withthe environment 114.

Once the visual content, audio content, or other content is obtained bythe camera 105, the system 100 may extract or otherwise obtain metadatafrom the content. The metadata may include, but is not limited to,information that indicates a location of the user, information thatindicates a time of day that the content was captured by the camera 105,information that indicates the locations of other users and objects inthe environment 114, information that indicates what the interferers115, 120, 125 are, information that indicates the locations of theinterferers 115, 120, 125, information for identifying the audio signalsmade in the environment 114 and interferers 115, 120, 125, informationthat identifies the user, information that indicates what the users inthe environment 114 are doing, information that indicates a type ofenvironment 114, information that indicates the types of devices beingused in the environment 114, any other type of information or acombination thereof.

Based on the captured content and metadata, the system 100 may determinethe location of the user, the locations of the interferers 115, 120,125, the locations of any other object in the environment 114, thelocation of the environment 114 itself, or a combination thereof. Oncethe location information is determined, the system 200 may load, such asvia the communications network 135, one or more audio profiles includinginformation about the current noise conditions occurring in theenvironment 114. For example, the audio profile may include audioinformation, signaling information, noise suppression algorithminformation, noise cancellation information, or other information thatcorresponds to the noise conditions typically found in a givenenvironment. Similarly, audio profiles corresponding to the interferers115, 120, 125 may also be retrieved and may include audio information,signaling information, noise cancellation information, or otherinformation corresponding to the interferers 115, 120, 125 and the noiseconditions made by the interferers 115, 120, 125.

In parallel or at any other selected time, the system 100 may load auser profile corresponding to the first user using the first user device102. The user profile may include audio information, such as audioinformation associated with the voice of the first user. Additionally,the user profile may include other information associated with the firstuser, such as, but not limited to, a name of the first user, the firstuser's age, the first user's demographic information, an acousticdictionary corresponding to the first user, the first user's ethnicity,the first user's physical characteristics and any other information. Theuser profile may also include information indicative of the voicecharacteristics of the first user, such as, but not limited to the firstuser's accent information, the first user's tone, the first user'spitch, the first user's speech patterns, the first user's languages, orany other information associated with the first user's speech. Inaddition to audio and user profiles, the system 100 may also includelocation profiles may include audio information, location information,or other information specific to a particular location.

Once the audio profile, user profile, location profile, or a combinationthereof, are loaded by the system 100, the system 100 may utilize theprofiles, location information, or metadata, or a combination thereof,to separate each of the noises sources in the environment 114 from eachother and from the first user, and, in certain embodiments, the seconduser. The system 100 may then utilize the profiles, locationinformation, metadata, or a combination thereof, to improve theefficiency and speed of noise suppression algorithms to be used incancelling the noises in the environment 114, such as the noises made bythe interferers 115, 120, and 125. The system 100, such as via firstuser device 102, may transmit noise cancellation signals correspondingto the noises made in the environment 114 and by the interferers 115,120, and 125. In certain embodiments, the audio signals from theenvironment 114 and the audio signals generated by the interferers 115,120, and 125 may be suppressed through the use of spatial filtering.Additionally, in certain embodiments, the system 100 may transmit, suchas via the first user device 102, nulls corresponding to each of theinterferers 115, 120, 125 based on information contained in theprofiles. For example, the system 200 may transmit a null in thedirection of interferer 120, which is a car in FIG. 1, so as to cancelthe noise made by the car.

The system 100 may also include adjusting audio signals generated by thefirst user, the second user, or a combination thereof, so as to createaudio signals of higher quality during the communications sessionbetween the first and second users. In certain embodiments, the system100, such as via the first user device 102, may adjust the audio signalsgenerated by the first user, the second user, or a combination thereof,by utilizing the information contained in the user profiles, audioprofiles, location profiles, or a combination thereof. In this way, thesystem 100 may reconstruct audio signals occurring during thecommunications session so as to enhance the quality of thecommunications session for the first and second users.

In another example scenario, instead of having a communication sessionwith the second user, the first user may be utilizing an application onthe first user device 102 that involves the use of automatic speechrecognition technologies. For example, the first user may be utilizingan application on the first user device 102 to change his travelreservation for a flight for his vacation. The first user may be sittingin an airport environment and may be using a voice interface of theapplication that is configured to accept voice inputs from the firstuser to change the reservation or to perform other actions. Theautomatic speech recognition functions of the application may havedifficulty capturing or processing the first user's voice inputs intothe interface based on the noisy airport environment. In order to assistin this endeavor, the system 100 may be activated by the first user orthe system 100 may be activated automatically when the first user opensthe application or at any other designated time. The system 100 maycapture video content, audio content, or other content, such as by usingthe camera 105 of the first user device 102. Metadata extracted from thecontent may be utilized to retrieve one or more audio profiles, userprofiles, location profiles, or a combination thereof, that correspondto the noises detected in the airport environment. For example, anairplane audio profile for airplanes may be loaded, a user profile ofthe first user may be loaded, and an airport location profile forairports may be loaded by the system 100.

Once the profiles are loaded by the system 100, the system 100 may usethe profiles in conjunction with noise suppression algorithms to cancelout each of noises made by each interferer in the airplane environment,along with noises made by any objects in the airplane environment.Additionally, the system 100 may reconstruct higher quality audiosignals that are generated by the first user so that the applicationreceiving the voice inputs may more effectively capture the voice inputsvia the application. The higher quality audio signals may enable theautomatic speech recognition software to process the voice inputs in amore efficient manner as well.

In another sample scenario, the system 100 may include having the firstuser using the first user device 102 make a phone call to the seconduser using the second user device 110. The first user may be in anenvironment 114 that includes a very busy street in Manhattan. The callmay be an important business call and the first user may need audio ofthe highest possible quality in order to communicate efficiently andeffectively with the second user. In this scenario, the system 100 mayload a busy street audio profile and the first user's user profile,while cancelling out the noises occurring in the environment 114.

In yet another example scenario, the system 100 may include having thefirst and second users interacting with a series of digitaladvertisement signs in an environment 114. The digital advertisementsigns may include a microphone array that may obtain audio signals onthe first and second users interacting with the digital advertisementssigns, while cancelling out ambient noise occurring in the environment114. A camera on the digital advertisement signs may be utilized tolocate the first and second users, and, in parallel, locate competingspeakers and noise sources by capturing video content, audio content, orother content associated with the environment 114. The system 100 maytransmit nulls in the direction of the competing speakers and noisesources based on profiles corresponding to the speakers and noisesources and based on metadata extracted from the captured content.Furthermore, the metadata may be utilized by the system 100 topost-process the captured audio efficiently and deliver the highestpossible quality to a human-computer interface.

Notably, as shown in FIG. 1, the system 100 may perform any of theoperative functions disclosed herein by utilizing the processingcapabilities of server 160, the storage capacity of the database 155 orany other component of the system 100 to perform the operative functionsdisclosed herein. The server 160 may include one or more processors 162that may be configured to process any of the various functions of thesystem 100. The processors 162 may be software, hardware, or acombination of hardware and software. Additionally, the server 160 mayalso include a memory 161, which stores instructions that the processors162 may execute to perform various operations of the system 100. Forexample, the server 160 may assist in processing loads handled by thevarious devices in the system 100, such as, but not limited to,obtaining visual, audio, or other content associated with theenvironment of the user, extracting metadata from the obtained content,determining a location of the user based on the metadata, loading anaudio profile corresponding to the location of the user, loading a userprofile of the user that is associated with the user, cancelling noisefrom the environment based on the user profile and audio profile,adjusting audio signals generated by a user based on the user profileand audio profile, and performing any other suitable operationsconducted in the system 100 or otherwise. In one embodiment, multipleservers 160 may be utilized to process the functions of the system 100.The server 160 and other devices in the system 100, may utilize thedatabase 155 for storing data about the devices in the system 100 or anyother information that is associated with the system 100. In oneembodiment, multiple databases 155 may be utilized to store data in thesystem 100.

Although FIG. 1 illustrates specific example configurations of thevarious components of the system 100, the system 100 may include anyconfiguration of the components, which may include using a greater orlesser number of the components. For example, the system 100 isillustratively shown as including a first user device 102, a second userdevice 110, a first interferer 115, a second interferer 120, a thirdinterferer 125, communications network 135, a server 140, a server 145,a server 150, a server 160, and a database 155. However, the system 100may include multiple first user devices 105, multiple second userdevices 110, multiple interferers 115, 120, 125, multiple communicationsnetworks 135, multiple servers 140, 145, 150, and 160, multipledatabases 155, or any number of any of the other components in thesystem 100. Furthermore, in one embodiment, substantial portions of thefunctionality and operations of the system 100 may be performed by othernetworks and systems that may be connected to system 100, such as system200.

Referring now also to FIG. 2, a system 200 for exploiting visual, audio,or other information to separate and cancel out noise sources isdisclosed. Notably, system 200 may incorporate and utilize any of thecomponents, devices, and functionality of system 100. In certainembodiments, system 200 may be connected to system 100, such as via thecommunications network 135. A user of the system 200 may beparticipating in a communications session involving a conversation 220,an automatic speech recognition process 225, or other speech-involvedprocesses. The system 200 may include a capturing device 205, which maybe configured to capture audio inputs, video inputs, or other types ofinputs occurring in the environment 114. The capturing device 205 mayinclude a memory 206 configured to store instructions and a processor207 that is configured to execute the instructions to perform thevarious operations performed by the capturing device 205. The capturingdevice 205 may be configured to obtain visual content, audio content, orother content, such as by utilizing microphone 208 and one or morecameras 209. In certain embodiments, the microphone 208 may be embodiedas a microphone array.

Once the visual content, audio content, other content, or a combinationthereof, are captured by the capturing device 205, the visual processingdevice 210 may process the visual content and the audio processingdevice 215 may process the audio content. The visual processing device210 and the audio processing device 215 may be hardware, software, or acombination thereof. When the visual processing device 210 processes thevisual content, the visual processing device 210 may obtain metadatafrom the visual content so as to provide the system 200 with informationindicative of the environment 114 and with information utilized toseparate the various noise sources in the environment 114. The audioprocessing device 210 may process the audio content occurring in theenvironment 114. The system 200 may process the audio content, videocontent, other content, and metadata to determine a location of the userinvolved in the conversation 220, automatic speech recognition process225, or other speech- involved process. The system 200 may alsodetermine the locations of any other object in the environment 114 ofthe user. Once obtained, the metadata and location information may beutilized by the system 200 to retrieve and load one or more profilescorresponding to the environment and noise sources in the environment114 from the communications network 135, which may be a cloud-basednetwork. The profiles may be, but are not limited to, audio/noiseprofiles, user profiles, and location profiles, such as those describedherein.

Once the profiles are loaded by the system 200, the system 200 separatethe various noise sources in the environment 114 and may cancel thenoise corresponding to each of the noise sources by utilizing theprofiles. For example, if the environment 114 includes noise sources,such as a car and a plane, the system 200 may utilize a car noiseprofile and a plane noise profile to cancel the noises generated by thecar and the plane respectively. Similarly, if the location is anairport, a location profile including noise information associated withan airport may be utilized by the system 200 to cancel noises occurringin the airport. The system 200 may cancel the noises in the environmentby utilizing the profiles in conjunction with available noisesuppression algorithms. Additionally, the system 200 may adjust audiosignals, such as speech, from the user so as to improve the quality ofcommunications during a conversation 220, automatic speech recognitionprocess 225, or any other speech-related process. The system 200 mayadjust the audio signals from the user by utilizing the user's profile,which may include an acoustic dictionary corresponding to the user'slanguage, a sampling of the user's speech, or other informationassociated with the user. The system 200 may update the user's profileor other profiles based on separation, cancellation, and audio signaladjusting processes in real-time or at any other selected time. As aresult, the profiles may be adapted to the user as conditions associatedwith the user change.

Although FIG. 2 illustrates specific example configurations of thevarious components of the system 200, the system 200 may include anyconfiguration of the components, which may include using a greater orlesser number of the components. For example, the system 200 isillustratively shown as including a capturing device 205, a visualprocessing device 210, an audio processing device 215, and acommunications network 135. However, the system 200 may include multiplecapturing devices 205, multiple visual processing devices 210, multipleaudio processing devices 215, multiple communications networks 135, orany number of any of the other components in the system 200.Furthermore, in one embodiment, substantial portions of thefunctionality and operations of the system 200 may be performed by othernetworks and systems that may be connected to system 200, such as system100.

As shown in FIG. 3, an exemplary method 300 for exploiting visualinformation for enhancing audio signals via source separation andbeamforming is schematically illustrated, and may include, at step 302,obtaining visual content, audio content, other content, or anycombination thereof, for an environment 114 of a user, such as during acommunications session of the user. In one embodiment, the obtaining ofthe content may be performed by the first user device 102, the seconduser device 110, the capturing device 205, any combination thereof, orby any other appropriate device. At step 304, the method 300 may includeextracting metadata from the visual content, audio content, othercontent, or any combination thereof. The metadata may include, but isnot limited to, information that indicates a location of the user,information associated with the time of day that the content wascaptured, information that indicates the locations of other users andobjects in the environment 114, information that identifies the user,information that indicates what the users in the environment 114 aredoing, information that indicates a type of environment 114, types ofdevices being used in the environment 114, any other type ofinformation, or a combination thereof.

At step 306, the method 300 may include determining a location of theuser based on the extracted metadata. In certain embodiments, the method300 may also include determining the specific locations of any object inthe environment 114 of the user based on the metadata as well. Theobjects may be sources of noise, such as but not limited to, competingspeakers, inanimate objects, machinery, animals, or any other objectthat may generate or make noise. In certain embodiments, the determiningof the location or locations may be performed by the first user device102, the second user device 110, the capturing device 205, the visualprocessing device 210, the audio processing device 215, the servers 140,145, 150, 160, any combination thereof, or by any other appropriatedevice. At step 308, the method 300 may including determining if thelocation of the user has been determined based on the metadata. If thelocation of the user has not been determined, the method 300 may includegoing back to step 302 to obtain visual content associated with theenvironment 114 of the user until the location of the user isdetermined.

If, however, the location of the user has been determined, the method300 may include, at step 310, loading, based on the determined location,an audio profile corresponding to the location of the user. For example,the audio profile may include information that corresponds to noiseconditions associated with the location of the user, noise signalinginformation that may be utilized to cancel the noise conditions, noisesuppression algorithms, or any other desired information. In certainembodiments, the location profiles may also be utilized and may includeaudio information specific to the location. In certain embodiments, theaudio profile may be loaded by using the first user device 102, thesecond user device 110, the capturing device 205, the visual processingdevice 210, the audio processing device 215, the servers 140, 145, 150,160, any combination thereof, or by any other appropriate device. Atstep 312, the method 300 may include loading a user profile of the user.The user profile may include audio information, such as audioinformation associated with a voice of the user. Additionally, the userprofile may include information associated with the user, such as, butnot limited to, a name of the user, the user's age, the user'sdemographic information, an acoustic dictionary corresponding to theuser, the user's ethnicity, the user's physical characteristics, and anyother information. The user profile may also include informationindicative of the voice characteristics of the user, such as, but notlimited to the user's accent, the user's tone, the user's pitch, theuser's speech patterns, the user's languages, or any other informationassociated with the user's voice. In certain embodiments, the userprofile may be loaded by using the first user device 102, the seconduser device 110, the capturing device 205, the visual processing device210, the audio processing device 215, the servers 140, 145, 150, 160,any combination thereof, or by any other appropriate device.

At step 314, the method 300 may include separating each of the noisesources in the environment 114 that may be interfering with the user'scommunications session, such as by utilizing the profiles, the metadata,the determined locations, or a combination thereof. Each of the noisesources may also be separated from the user as well. In certainembodiments, the noise sources may be separated by utilizing the firstuser device 102, the second user device 110, the capturing device 205,the visual processing device 210, the audio processing device 215, theservers 140, 145, 150, 160, any combination thereof. At step 316, themethod 300 may include cancelling the noise in the environment 114interfering with the communications session of the user. The noise maybe cancelled by utilizing the information contained in the audioprofile, the user profile, or a combination thereof. In certainembodiments, the cancelling of the noise in the environment 114 may beperformed by utilizing the first user device 102, the second user device110, the capturing device 205, the visual processing device 210, theaudio processing device 215, the servers 140, 145, 150, 160, anycombination thereof, or by any other appropriate device. In certainembodiments, the noise in the environment 114 may be cancelled bytransmitting nulls or noise cancellation signals corresponding to eachof the noise sources in the direction of the noise sources. At step 318,the method 300 may include adjusting, based on one or more of theprofiles, audio signals generated by the user during the communicationssession so as to enhance the audio signals during the communicationssession. For example, speech generated during a telephone call or anautomatic speech recognition process may be enhanced. In certainembodiments, the audio signals may be adjusted by utilizing the firstuser device 102, the second user device 110, the capturing device 205,the visual processing device 210, the audio processing device 215, theservers 140, 145, 150, 160, any combination thereof, or by any otherappropriate device.

Notably, the system 100, system 200, and methods disclosed herein mayinclude additional functionality and features. In certain embodiments,the video content, audio content, or other content may be obtained byutilizing any type of sensor, such as, but not limited to, any visualsensor, any acoustic sensor, any recording device, any light sensor, anyother type of sensor, or a combination thereof. Additionally, in certainembodiments, the audio profile, the user profile, location profile, or acombination thereof, may be retrieved by utilizing a cloud-basedapplication configured to execute on the first user device 102, thesecond user device 110, the capturing device 205, the servers 140, 145,150, 160, any combination thereof, or by any other appropriate device.The cloud-based application may retrieve the profiles via thecommunications network 135, which may be a cloud-based network. Incertain embodiments, the profiles may be updated based on the visualcontent, audio, content, other content, metadata, or a combinationthereof, obtained by the system 100. For example, if metadata associatedwith video content of an airport environment indicates that the airportaudio profile should be adjusted to reflect the current conditions atthe airport environment, the airport audio profile may be updatedaccordingly. In certain embodiments, the profiles may be stored in alibrary residing on the database 155 and may be updated as new contentis captured in the system 100.

The system 100, the system 200, and methods disclosed herein may furtherinclude utilizing microphone arrays, beamformers, or a combinationthereof, to sample audio signals captured from the environment 114. Themicrophone arrays may be utilized to assist in suppressing some of thecomponents of the captured audio signals through spatial filtering orother similar techniques. For example, noise being generated by theinterferers 115, 120, 125, other interferers in the environment 114, ora combination thereof, may be cancelled out by suppressing components ofthe audio signals made by such interferers. It is important to note thatthe methods described above may incorporate any of the functionality,devices, and/or features of the system 100, system 200, and subsystemsdescribed above, or otherwise, and are not intended to be limited to thedescription or examples provided herein.

Referring now also to FIG. 4, at least a portion of the methodologiesand techniques described with respect to the exemplary embodiments ofthe system 100 and system 200 can incorporate a machine, such as, butnot limited to, computer system 400, or other computing device withinwhich a set of instructions, when executed, may cause the machine toperform any one or more of the methodologies or functions discussedabove. The machine may be configured to facilitate various operationsconducted by the system 100 and the system 200. For example, the machinemay be configured to, but is not limited to, assist the system 100 andthe system 200 by providing processing power to assist with processingloads experienced in the system 100 and the system 200, by providingstorage capacity for storing instructions or data traversing the system100 and the system 200, or by assisting with any other operationsconducted by or within the system 100 and the system 200.

In some embodiments, the machine may operate as a standalone device. Insome embodiments, the machine may be connected (e.g., usingcommunications network 135, another network, or a combination thereof)to and assist with operations performed by other machines, such as, butnot limited to, the first user device 102, the second user device 110,the server 140, the server 145, the server 150, the database 155, theserver 160, the capturing device 205, the visual processing device 210,the audio processing device 215, or any combination thereof. The machinemay be connected with any component in the system 100. In a networkeddeployment, the machine may operate in the capacity of a server or aclient user machine in a server-client user network environment, or as apeer machine in a peer-to-peer (or distributed) network environment. Themachine may comprise a server computer, a client user computer, apersonal computer (PC), a tablet PC, a laptop computer, a desktopcomputer, a control system, a network router, switch or bridge, or anymachine capable of executing a set of instructions (sequential orotherwise) that specify actions to be taken by that machine. Further,while a single machine is illustrated, the term “machine” shall also betaken to include any collection of machines that individually or jointlyexecute a set (or multiple sets) of instructions to perform any one ormore of the methodologies discussed herein.

The computer system 400 may include a processor 402 (e.g., a centralprocessing unit (CPU), a graphics processing unit (GPU, or both), a mainmemory 404 and a static memory 406, which communicate with each othervia a bus 408. The computer system 400 may further include a videodisplay unit 410, which may be, but is not limited to, a liquid crystaldisplay (LCD), a flat panel, a solid state display, or a cathode raytube (CRT). The computer system 400 may include an input device 412,such as, but not limited to, a keyboard, a cursor control device 414,such as, but not limited to, a mouse, a disk drive unit 416, a signalgeneration device 418, such as, but not limited to, a speaker or remotecontrol, and a network interface device 420.

The disk drive unit 416 may include a machine-readable medium 422 onwhich is stored one or more sets of instructions 424, such as, but notlimited to, software embodying any one or more of the methodologies orfunctions described herein, including those methods illustrated above.The instructions 424 may also reside, completely or at least partially,within the main memory 404, the static memory 406, or within theprocessor 402, or a combination thereof, during execution thereof by thecomputer system 400. The main memory 404 and the processor 402 also mayconstitute machine-readable media.

Dedicated hardware implementations including, but not limited to,application specific integrated circuits, programmable logic arrays andother hardware devices can likewise be constructed to implement themethods described herein. Applications that may include the apparatusand systems of various embodiments broadly include a variety ofelectronic and computer systems. Some embodiments implement functions intwo or more specific interconnected hardware modules or devices withrelated control and data signals communicated between and through themodules, or as portions of an application-specific integrated circuit.Thus, the example system is applicable to software, firmware, andhardware implementations.

In accordance with various embodiments of the present disclosure, themethods described herein are intended for operation as software programsrunning on a computer processor. Furthermore, software implementationscan include, but not limited to, distributed processing orcomponent/object distributed processing, parallel processing, or virtualmachine processing can also be constructed to implement the methodsdescribed herein.

The present disclosure contemplates a machine-readable medium 422containing instructions 424 so that a device connected to thecommunications network 135, other network, or both, can send or receivevoice, video or data, and to communicate over the communications network135, other network, or both, using the instructions. The instructions424 may further be transmitted or received over the communicationsnetwork 135, other network, or both, via the network interface device420.

While the machine-readable medium 422 is shown in an example embodimentto be a single medium, the term “machine-readable medium” should betaken to include a single medium or multiple media (e.g., a centralizedor distributed database, and/or associated caches and servers) thatstore the one or more sets of instructions. The term “machine-readablemedium” shall also be taken to include any medium that is capable ofstoring, encoding or carrying a set of instructions for execution by themachine and that causes the machine to perform any one or more of themethodologies of the present disclosure.

The terms “machine-readable medium,” “machine-readable device, or“computer-readable device” shall accordingly be taken to include, butnot be limited to: memory devices, solid-state memories such as a memorycard or other package that houses one or more read- only (non-volatile)memories, random access memories, or other re-writable (volatile)memories; magneto-optical or optical medium such as a disk or tape; orother self-contained information archive or set of archives isconsidered a distribution medium equivalent to a tangible storagemedium. The “machine-readable medium,” “machine-readable device,” or“computer-readable device” may be non-transitory, and, in certainembodiments, may not include a wave or signal per se. Accordingly, thedisclosure is considered to include any one or more of amachine-readable medium or a distribution medium, as listed herein andincluding art-recognized equivalents and successor media, in which thesoftware implementations herein are stored.

The illustrations of arrangements described herein are intended toprovide a general understanding of the structure of various embodiments,and they are not intended to serve as a complete description of all theelements and features of apparatus and systems that might make use ofthe structures described herein. Other arrangements may be utilized andderived therefrom, such that structural and logical substitutions andchanges may be made without departing from the scope of this disclosure.Figures are also merely representational and may not be drawn to scale.Certain proportions thereof may be exaggerated, while others may beminimized. Accordingly, the specification and drawings are to beregarded in an illustrative rather than a restrictive sense.

Thus, although specific arrangements have been illustrated and describedherein, it should be appreciated that any arrangement calculated toachieve the same purpose may be substituted for the specific arrangementshown. This disclosure is intended to cover any and all adaptations orvariations of various embodiments and arrangements of the invention.Combinations of the above arrangements, and other arrangements notspecifically described herein, will be apparent to those of skill in theart upon reviewing the above description. Therefore, it is intended thatthe disclosure not be limited to the particular arrangement(s) disclosedas the best mode contemplated for carrying out this invention, but thatthe invention will include all embodiments and arrangements fallingwithin the scope of the appended claims.

The foregoing is provided for purposes of illustrating, explaining, anddescribing embodiments of this invention. Modifications and adaptationsto these embodiments will be apparent to those skilled in the art andmay be made without departing from the scope or spirit of thisinvention. Upon reviewing the aforementioned embodiments, it would beevident to an artisan with ordinary skill in the art that saidembodiments can be modified, reduced, or enhanced without departing fromthe scope and spirit of the claims described below.

What is claimed is:
 1. A method, comprising: determining, by a userequipment comprising a processor, metadata of audio captured in anenvironment in which a communication session is being performed usingthe user equipment, wherein the metadata comprises informationindicating a user identity of a user that is part of the communicationsession and an environment type of the environment; and cancelling, bythe user equipment, noise in the environment in additional audio, otherthan the audio, captured during the communication session based on themetadata and an audio profile associated with the environment type. 2.The method of claim 1, wherein the cancelling is further based on a userprofile associated with the user identity.
 3. The method of claim 2,wherein the user profile identifies an accent associated with the useridentity.
 4. The method of claim 2, wherein the user profile identifiesa tone of a voice associated with the user identity.
 5. The method ofclaim 2, wherein the user profile identifies a pitch of a voiceassociated with the user identity.
 6. The method of claim 2, furthercomprising adjusting, by the user equipment, an audio signal associatedwith the user identity in the additional audio based on the userprofile.
 7. The method of claim 1, wherein the cancelling comprisestransmitting a cancellation signal in a direction of a location of asource of the noise.
 8. A user equipment, comprising: a processor; and amemory that stores executable instructions that, when executed by theprocessor, facilitate performance of operations, comprising: obtainingmetadata of media captured in an environment in which an audioconversation is being performed using the user equipment, wherein themetadata identifies a user that is part of the audio conversation and anenvironment type of the environment; and suppressing noise in theenvironment in additional media captured during the audio conversationbased on the metadata and an audio profile associated with theenvironment type.
 9. The user equipment of claim 8, wherein thesuppressing is further based on a user profile associated with the user.10. The user equipment of claim 9, wherein the user profile identifies aphysical characteristic of the user.
 11. The user equipment of claim 9,wherein the user profile identifies a voice characteristic of the user.12. The user equipment of claim 9, wherein the user profile identifiesan age of the user.
 13. The user equipment of claim 9, wherein theoperations further comprise: enhancing an audio signal associated withthe user in the additional media based on the user profile.
 14. The userequipment of claim 8, wherein the cancelling comprises separating afirst audio signal associated with the noise in the additional mediafrom a second audio associated with the user in the additional media.15. A non-transitory machine-readable medium, comprising executableinstructions that, when executed by a processor of a user equipment,facilitate performance of operations, comprising: acquiring metadata ofaudio captured in an environment in which speech recognition session isbeing performed using the user equipment, wherein the metadata indicatesa user identity that is part of the speech recognition session and anenvironment type of the environment; and suppressing noise in theenvironment in additional audio captured during the speech recognitionsession based on the metadata and an audio profile associated with theenvironment type.
 16. The non-transitory machine-readable medium ofclaim 15, wherein the suppressing is further based on a user profileassociated with the user identity.
 17. The non-transitorymachine-readable medium of claim 15, wherein the metadata furtherindicates respective locations of objects in the environment.
 18. Thenon-transitory machine-readable medium of claim 15, wherein the metadatafurther indicates respective types of devices being used in theenvironment.
 19. The non-transitory machine-readable medium of claim 15,wherein the metadata further indicates a location of a user, identifiedby the user identity, in the environment relative to a source of thenoise.
 20. The non-transitory machine-readable medium of claim 15,wherein the audio profile comprises a noise suppression process trainedfor the environment type.